Experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP) and testing cloud-native or microservices-based applications.
Experience integrating automated tests into CI/CD pipelines using Jenkins, GitHub Actions, or similar platforms.
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline, or equivalent professional experience.
Responsibilities
Design, develop, and maintain scalable automated test frameworks and scripts using Python and Robot Framework.
Test and validate AI/ML and AI-enabled applications, including model outputs, APIs, backend services, integrations, and end-to-end workflows.
Define and implement quality engineering strategies for AI-driven and cloud-based solutions, embedding quality throughout the software development lifecycle.
Collaborate with Engineering, AI/ML, Product, and DevOps teams to identify defects, improve testability, and contribute to code reviews and technical design discussions.
Integrate automated testing into CI/CD pipelines to improve test coverage, release reliability, and continuous quality validation.
Explore emerging AI testing techniques, including Generative AI and LLM testing, such as output validation, hallucination testing, prompt testing, accuracy, and regression testing.
About the Team
You will join a collaborative engineering team focused on building reliable, scalable, and innovative technology solutions. Working closely with Engineering, AI/ML, Product, and DevOps teams, you will help embed quality throughout the development lifecycle and ensure the reliability and performance of AI-enabled and cloud-based applications. The team embraces modern engineering practices, automation, cloud technologies, and artificial intelligence to continuously improve software quality and deliver future-ready solutions.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law.
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Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.